SageAttention Accurate 8-Bit Attention for Plug-and-play Inference Acceleration
MACHINE LEARNING
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Artificial Intelligence From A Standing Start Guide
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Artificial Intelligence From A Standing Start
#AI #AIio #BigData #ML #NLU #Futureofwork @TopCyberNews @SpirosMargaris @MarshaCollier @MHiesboeck
@MHcommunicate @Fisher85M @MikeQuindazzi @NealSchaffer
http://
ow.ly/fG0z30sGwSc -
ECCV 2024 Papers Repository with API
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ECCV 2024 Papers repo with a list of all accepted papers with their details and an API
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Scaling Laws Enable Efficient Transformer Hyperparameter Optimization
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Modern transformers are well-behaved according to well-behaved scaling laws (which are a function of (num. of tokens, num. of parameters).
This allows one to find the hyperparameters at a smaller scale, and then keep scaling up parameters and data according to some power law. -
Tokenizing Motion for Language-to-Motion Translation in Robotics
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100% agree! Tokenizing motion as a language also helps for translating language to motion (IROS 2022) https://
github.com/pjyazdian/Gest
ure2Vec
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We also have relevant work in BC with action tokens coming up at IROS 2024 https://
arxiv.org/abs/2405.19528 -
Drawing Scientific Conclusions with Interpretable Machine Learning
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Can you draw scientific conclusions with interpretable machine learning? https://
bit.ly/3ZTJebg
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
AI’s Rise in the Workplace and Liberal Arts Education Impact
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How will the rise of AI in the workplace impact liberal arts education?
#AI #AIio #BigData #ML #NLU #Futureofwork @IIoT_World @ipfconline1 @jblefevre60 @JimMarous @insurtechtalk @KirkDBorne @kuriharan @LouisSerge -
OpenAI o1 Models: Planning Abilities, Feasibility and Optimality
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On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability Wang et al.: https://
arxiv.org/abs/2409.19924 #AIAgent #ArtificialIntelligence #DeepLearning -
Young Developer Excels in Apps and Machine Learning Model Design
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Started coaching someone for this semester at @OutInTech and she is brilliant. Building complex apps with 21. Designing a machine learning model. I’d hire her on the spot.
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Weights & Biases Integration Enhances Fine-Tuning Experiment Monitoring
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We’ve also developed a seamless integration with @wandb
. This allows for enhanced monitoring and evaluation of fine-tuning experiments, providing greater visibility into training efficiency and outcomes.